Experimental study on the influence of temperature and state-of-charge on the thermophysical properties of an LFP pouch cell

Bazinski, Stephen; Wang, Xia

doi:10.1016/j.jpowsour.2015.05.084

Cited by 94 publications

(39 citation statements)

References 43 publications

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“…Layered internal structure is one of the characteristics of lithium ion batteries and therefore it is challenging to measure its heat capacity precisely. Because electrochemical reactions occur in battery, variations in the battery temperature during experimenting could lead to incorrect heat generation characterization [35].…”

Section: Specific Heat Capacitymentioning

confidence: 99%

“…Both experimental and computational methods have been utilized to specify the specific heat capacity of a battery [35]. Between two methods, computational methods [35] are the most straightforward procedure.…”

Section: Specific Heat Capacitymentioning

confidence: 99%

“…Between two methods, computational methods [35] are the most straightforward procedure. Different experimental and computational methods which were used by some researchers are shown in Table 5.…”

Section: Specific Heat Capacitymentioning

confidence: 99%

“…Thermal conductivity plays an important role in battery performance. A detailed experimental procedure and analysis is needed to measure the value of these parameters and to study how it varies with the cell operating conditions [35]. Table 7.…”

Section: Specific Heat Capacity Dependency Battery Typementioning

confidence: 99%

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Review of Parameter Determination for Thermal Modeling of Lithium Ion Batteries

2018

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This paper reviews different methods for determination of thermal parameters of lithium ion batteries. Lithium ion batteries are extensively employed for various applications owing to their low memory effect, high specific energy, and power density. One of the problems in the expansion of hybrid and electric vehicle technology is the management and control of operation temperatures and heat generation. Successful battery thermal management designs can lead to better reliability and performance of hybrid and electric vehicles. Thermal cycling and temperature gradients could have a considerable impact on the lifetime of lithium ion battery cells. Thermal management is critical in electric vehicles (EVs) and good thermal battery models are necessary to design proper heating and cooling systems. Consequently, it is necessary to determine thermal parameters of a single cell, such as internal resistance, specific heat capacity, entropic heat coefficient, and thermal conductivity in order to design suitable thermal management system.

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Section: Specific Heat Capacitymentioning

confidence: 99%

Section: Specific Heat Capacitymentioning

confidence: 99%

Section: Specific Heat Capacitymentioning

confidence: 99%

Section: Specific Heat Capacity Dependency Battery Typementioning

confidence: 99%

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Review of Parameter Determination for Thermal Modeling of Lithium Ion Batteries

2018

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“…Note that while we assume that battery thermal properties C q1 ; k 1 ; C q2 are kept constant (according to [27], battery specific heat capacity is independent of SOC and increases slightly with temperature; battery cross-plane thermal conductivity is independent of temperature but depends on SOC. ), k 2 certainly depends on the heat dissipation condition, such as cooling wind speed and temperature.…”

Section: Ieee Trans Actions On Indus Trial Electronics B the Rma L Smentioning

confidence: 99%

Improved Realtime State-of-Charge Estimation of LiFePO $_{\boldsymbol 4}$ Battery Based on a Novel Thermoelectric Model

Zhang

Deng

et al. 2017

IEEE Trans. Ind. Electron.

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Anisotropic Thermal Characterisation of Large‐Format Lithium‐Ion Pouch Cells**

Lin

Chu

Monroe

et al. 2022

Batteries & Supercaps

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Temperature strongly impacts battery performance, safety and durability, but modelling heat transfer requires accurately measured thermal properties. Herein we propose new approaches to characterise the heat capacity and anisotropic thermal‐conductivity components for lithium‐ion pouch cells. Heat capacity was estimated by applying Newton's law of cooling to an insulated container within which the cell was submerged in warmed dielectric fluid. Thermal conductivity was quantified by heating one side of the cell and measuring the opposing temperature distribution with infra‐red thermography, then inverse modelling with the anisotropic heat equation. Experiments were performed on commercial 20 Ah lithium iron phosphate (LFP) pouch cells. At 100 % state‐of‐charge (SOC), the heat capacity of a 489 g, 224 mL pouch cell was 541 J K−1. The through‐plane and in‐plane thermal conductivities were respectively 0.52 and 26.6 W m−1 K−2. Capturing anisotropies in conductivity is important for accurate thermal simulations. State‐of‐charge dependence was also probed by testing at 50 % SOC: the heat capacity dropped by 6 % and thermal conductivity did not significantly change.

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Experimental study on the influence of temperature and state-of-charge on the thermophysical properties of an LFP pouch cell

Cited by 94 publications

References 43 publications

Review of Parameter Determination for Thermal Modeling of Lithium Ion Batteries

Review of Parameter Determination for Thermal Modeling of Lithium Ion Batteries

Improved Realtime State-of-Charge Estimation of LiFePO $_{\boldsymbol 4}$ Battery Based on a Novel Thermoelectric Model

Anisotropic Thermal Characterisation of Large‐Format Lithium‐Ion Pouch Cells**

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